An interdisciplinary effort to integrate coding into science courses.

Aim/Purpose: The purpose of this study is to identify how Advanced level Mathematics and Mathematics course units offered at university level do impact on the academic performance of theoretical Computer Science course units. Background: In Sri Lankan state universities, students have been enrolled only from the Physical Science stream to do a degree program in Computer Science. In addition to that, universities have been offering some course units in Mathematics to provide the required mathematical maturity to Computer Science undergraduates. Despite of this it is observed that the failure rates in fundamental theoretical Computer Science course units are much higher than other course units offered in the general degree program every year. Methodology : Academic records comprised of all 459 undergraduates from three consecutive batches admitted to the degree program in Computer Science from a university were considered for this study. Contribution: This study helps academics in identifying suitable curricula for Mathematics course units to improve students’ performance in theoretical Computer Science courses. Findings: Advanced level Mathematics does not have any significant effect on the academic performance of theoretical Computer Science course units. Even though all Mathematics course units offered were significantly correlated with academic performance of every theoretical Computer Science course unit, only the Discrete Mathematics course unit highly impacted on the academic performance of all three theoretical Computer Science course units. Further this study indicates that the academic performance of female undergraduates is better than males in all theoretical Computer Science and Mathematics course units. Future Research: Identifying other critical success factors contributing to the students’ academic performance of the theoretical Computer Science through empirical studies

Since the entrance of the graduates of technical high schools to engineering programs is hindered, in application, the graduates of general or science high schools only are accepted to engineering education. For these students, four years are not sufficient to teach the basic and the related application courses of the profession. Looking at the existing curriculum of mechanical engineering, it can be seen that in the 1st Year, the physics and chemistry courses repeat the content of the ones given in high school education. The current approach considers the students as they come to university with inadequate and incomplete knowledge and therefore not ready to follow the engineering science courses. This approach underestimates and denies the high school education contrary to the main objective of its curriculum. The main objective of high schools (secondary schools) is expressed in the Laws and Regulations with such a statement: “General high schools do not prepare students for a specific profession but rather for higher education”. Today, the existing curriculum of Mechanical Engineering is to be renewed by some new science and application courses to satisfy the demands of labor market. However, the total course credit limit prevents such a renewal. In the face of this dilemma, the answer to this question becomes important: Should the university really repeat high school physics and chemistry? In science high schools and in science branch of general high schools the science and mathematics courses have the major importance. The students are well educated on physics, chemistry, biology and mathematics. They are provided with the necessary science and mathematics background that is required in engineering education. Although only the well-educated graduates of science and general high schools are admitted to engineering programs and the students are already ready to follow the engineering science courses thanks to their high school background, unfortunately in some universities (in Turkey in all) science courses part of engineering curricula is filled by physics and chemistry courses with the same content of the ones taught in high school.

The Examination of Primary School Students’ Attitudes Toward Science Course and Experiments in Terms of Some Variables

ABSTRACTThis mixed-methods study examined the long-term associations between two kinds of politics courses—required political science courses and required family policy courses—and the political participation, knowledge, skill, efficacy, and politically engaged identity of child and family studies alumni. Two special cases were examined: those who remembered their required political science and policy courses compared with the other groups. Additionally, open-ended responses were coded and analyzed. Together, the quantitative and qualitative data suggest that college courses impacted alumni political awareness in college but political awareness did not translate as strongly into later political participation as previous literature has assumed. Findings highlight the importance of postcollege personal connections and work experience in shaping political participation. Educators and researchers should consider this complex relationship between what students learn in college and what they may later experience in adulthood when developing curriculum for students who are not political science majors.

Aims: With increasing emphasis on learners-centered approach in teaching and learning, engaging students in course development and refinement is crucial. This study aims to foster a participatory approach in course development by engaging students in meaningful discourse at the early stage of an atmospheric science course.
 Study design: This is a qualitative study which employed the grounded theory for data analysis.
 Place and Duration of Study: The study was conducted in March 2021 in an international higher learning institution located in the Guangdong Province of China.
 Methodology: This qualitative study invited a year 3 cohort of environmental science students taking an atmospheric science and pollution course in an international higher learning institution in China to participate in a meaningful discourse about the course in week 2 of the semester. Their responses were transcribed and the transcripts analyzed with NVIVO based on the grounded theory. The transcripts were coded, the themes were drawn and the relationship was probed.
 Results: This study identified three overarching themes from the codes, namely assessment, course contents and learning activities, whose codes covered 4.5%, 17.8% and 23.1% of the text respectively. Codes for assessment comprise practical assignment and multiple-choice question, while those for course contents include black carbon, modelling, greenhouse gases, zero-carbon, and removal of Freon. Codes for learning activities include case studies, debate, field trips and quizzes. The words most frequently appeared in the transcripts are learning and field. The findings reflect expectations for interactive learning, simulation-based learning, authentic assignments and activities, experiential learning via field trips and problem-based learning. These are in line with the established pedagogies for environmental science.
 Conclusion: This study shifts the paradigm of students’ engagement in the increasingly learner-centered educational setting where students are proactively involved in course development in the early stage of teaching and learning instead of reactively involved through feedback collection at advanced stages.

The current study aimed to investigate the relationship between middle school students’ science course attitudes and robotics attitudes. To this end, the correlational survey model was used. The study group of the current study is comprised of 220 students attending middle schools in the 2019-2020 school year. In the study, the “Science Course Attitude Scale” was used to measure the students’ science course attitudes and the “Robotics Attitude Scale” was used to measure their robotics attitudes. In the study, the relationship between the robotics attitude dataset consisted of the learning desire, self-confidence, computational thinking and teamwork variables and the science course attitude dataset consisted of the daily life and learning new knowledge, difficulty in practice, problem solving, motivation and anxiety variables was analyzed with the canonical correlation analysis. As a result of the study, a significant correlation was found between the science course attitudes and the robotics attitudes and the covariance shared between the datasets was found to be 38.4%. The relationship between these two variables was discussed and various suggestions were made.

In the Institute of Medicines report Dental Education at the Crossroads, it was suggested that dental schools across the country move toward integrated basic science education for dental and medical students in their curricula. To do so, dental school admission requirements and recommendations must be closely reviewed to ensure that students are adequately prepared for this coursework. The purpose of our study was twofold: 1) to identify student dentists' perceptions of their predental preparation as it relates to course content, and 2) to track student dentists' undergraduate basic science course preparation and relate that to DAT performance, basic science course performance in dental school, and Part I and Part II National Board performance. In the first part of the research, a total of ninety student dentists (forty-five from each class) from the entering classes of 1996 and 1997 were asked to respond to a survey. The survey instrument was distributed to each class of students after each completed the largest basic science class given in their second-year curriculum. The survey investigated the area of undergraduate major, a checklist of courses completed in their undergraduate preparation, the relevance of the undergraduate classes to the block basic science courses, and the strength of requiring or recommending the listed undergraduate courses as a part of admission to dental school. Results of the survey, using frequency analysis, indicate that students felt that the following classes should be required, not recommended, for admission to dental school: Microbiology 70 percent, Biochemistry 54.4 percent, Immunology 57.78 percent, Anatomy 50 percent, Physiology 58.89 percent, and Cell Biology 50 percent. The second part of the research involved anonymously tracking undergraduate basic science preparation of the same students with DAT scores, the grade received in a representative large basic science course, and Part I and Part II National Board performance. Using T-test analysis correlations, results indicate that having completed multiple undergraduate basic science courses (as reported by AADSAS BCP hours) did not significantly (p < .05) enhance student performance in any of these parameters. Based on these results, we conclude that student dentists with undergraduate preparation in science and nonscience majors can successfully negotiate the dental school curriculum, even though the students themselves would increase admission requirements to include more basic science courses than commonly required. Basically, the students' recommendations for required undergraduate basic science courses would replicate the standard basic science coursework found in most dental schools: anatomy, histology, biochemistry, microbiology, physiology, and immunology plus the universal foundation course of biology.

Several authors have increasingly recognized the problem of pseudoscience as a major threat confronting psychology and allied disciplines. We discuss the importance of courses in science and pseudoscience to undergraduate education in psychology and provide (a) a model syllabus for courses in the science and pseudoscience of psychology, (b) a list and description of suggested primary and supplemental texts for such courses, (c) a list of useful educational videos on science and pseudoscience, and (d) suggested Web sites that offer critical evaluations of pseudoscientific claims. Finally, we briefly review the literature concerning the efficacy of courses in the science and pseudoscience of psychology and offer suggestions for future research in this area.

The adoption of innovative online teaching tools in Computer Science (CS) courses provides opportunities for data-informed instruction as a regular teaching practice in CS classrooms. In this paper, we present a design study for an interactive visual analytics dashboard, called UserFlow, that supports feedback collection from teaching documents and assists instructors in interpreting feedback and acting on it in a timely manner. The design study is conducted with eight domain experts comprising of four teaching instructors, two learning analytics (LA) experts and two instructional designers. UserFlow offers a set of novel visualization designs for presenting the four interleaving aspects of document engagement (i.e., annotations, document traversal path, reading/focus time and student information). We evaluated UserFlow in an undergraduate computer science course with over 700 students. Our results demonstrate the usefulness and need for such a tool for CS educators to inform teaching approaches and courseware improvement.

Supporting computer science and computer application courses requires spending many resources on specialized software. Courses, such as database concepts and applications, depend upon hands-on experience with software to help students understand important principles. Both the university computer labs and students need to install software for homework assignments. Problems include software availability, cost, installation, platform compatibility, and configuration. While academic licensing provides software to students at significantly lower prices, the price may still be too high for some students. Installation and configuration on client/student side may also be a problem. Further, IT departments face the challenge of installing, upgrading and patching the software in student labs.

Over the most recent two decades, federal policy has urged high schools to embed applied science, technology, engineering, and mathematics (STEM) courses into the curriculum to reinforce concepts learned in traditional math and science classes as well as to motivate students’ interests and long-term pursuits in STEM areas. While prior research has examined whether these courses link to STEM persistence for the general student population, no work has examined the role of these courses for students with learning disabilities (LDs). This is a critical lapse, as these courses have been supported as being one path by which STEM material can become more accessible for students with diverse learning needs. Hence, this descriptive study examines the landscape of applied STEM course taking for students with LDs. The findings suggest students with LDs are less likely to take applied STEM courses in high school compared to the general population. Additionally, while the general population does benefit from taking these courses, there is a unique association between applied STEM course taking and advanced math and science course taking or math achievement for students with LDs. Hence, there is no evidence that applied STEM course taking is related to any closure of the STEM achievement gap for students with LDs.

Doctor of Pharmacy (PharmD) degree program curricula are typically comprised of heavy course loads and assessment burden. Typically, students "live" from exam to exam only preparing and studying for the exam directly ahead of them while neglecting concurrent courses. Therefore, the aim of the study was to determine the impact of weekly multicourse collective exams academic behaviors and learning in an integrated biological sciences (BSI) course within a PharmD program. Weekly multicourse exams included questions, four per credit hour, from all first semester courses that traditionally included summative exams. Seven courses contributed questions, which amounted to 15 weekly exams of ∼60 questions. No other graded assessments were given in any of the courses, other than individual course cumulative final exams; the final exams in each course were not collective. After completion of final exams, a Qualtrics survey was emailed to all students and the two professors teaching the course. Course grades, not including the final exam, were compared between two cohorts with or without the collective exams to determine impact on learning. The cumulative final exam was compared between cohorts to determine impact on retention. The majority of students agreed or strongly agreed that the weekly collective exams encouraged them to study BSI more frequently, most days of the week, reduced the likelihood of skipping class, and increased likelihood to pay attention and engage in class. The majority believed that they better learned and retained the BSI material. The majority specified that they liked the collective exams for BSI and preferred it over a traditional exam schedule. Learning also appeared to be improved. However, the impact on retention is less clear and requires further research. In conclusion, the weekly multicourse collective exams improved academic behaviors and learning.

The aim of this study was to obtain a better understanding of the effects of implementation continuous assessment in practical and theoretical class of sport science in Debre Markos and Baher Dar universities. Research methodology in this study was descriptive survey research. This is because the study attempts to describe the current practice of implementation of continuous assessment in practical and theoretical class of sport science courses with its effects on the academic and skill improvement of sport science students in Debre Markos and Baher Dar universities. Total population of the study were 344.The subjects of the study in this study were 15 (60%) of sport science instructors in Debre Markos and Baher Dar Universities 2 (100%) of department heads and 96 (30.2%) of sport science students at Debre Markos and Baher Dar universities. Sport science instructors and sport science students were selected by simple random sampling techniques by lottery methods. While, department heads were selected by purposive sampling. The data was collected through questionnaire, document analysis and interview. Documents like students grading formats and course outlines would also consult. Percentage was use as the main method of analysis of the data. A few qualitative data were analysis qualitatively. The results of the data showed that 78(81.25%) of sport science students strongly agree that continuous assessment assist sport science instructors in identification of problems experienced by learners in the mastering of skills in sport science course. 74 (77.08%) of sport science students strongly agree that continuous assessment provides learners with opportunities to take decisions about their careers at early stage. 80 (83.33%) of sport science students strongly agree that it motivates learners to work hard throughout the academic year. 83 (86.46%) of sport science students strongly agree that it enhances the self-esteem of learners.75 (78.13%) of sport science students strongly agree that continuous assessment provides learners with opportunities to identify their strengths and weaknesses in sport science course, 80 (83.33%) of sport science students strongly agree that continuous assessment creates conducive teaching learning environment on sport science course and developing learners achievement and skill improvement in theoretical and practical session in sport science courses. Keywords: Academic achievement, Continuous assessment, Effects, Implementation, and Skill improvement. DOI: 10.7176/RHSS/12-6-01 Publication date: March 31 st 2022

Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course

The number of undergraduates entering computer science has declined in recent years. This is paralleled by a drop in the number of high school students taking the CS AP exam and the number of high schools offering computer science courses. The declines come at a time when career opportunities in CS continue to grow and computer science graduates are seen as crucial in building a globally competitive workforce for the 21st century. Efforts aimed at reversing the declining interest in computer science include curriculum revisions at the undergraduate level at many institutions, a re-design of computer science AP courses [1], and the inclusion of computational thinking into disciplines outside computer science [3].This panel discusses four projects of computer science researchers collaborating with high school teachers on integrating computing and computational thinking into their courses. The majority of the high school teachers involved is teaching science and math courses. They are teaching a diverse group of talented and college-bound students. The goal of all projects is to integrate computing into disciplines represented in the high school curriculum and to raise the awareness of computer science as an exciting and intellectually rewarding field.This panel will outline recent and on-going activities and interaction with high school teachers. Each panelist will describe how he/she got involved and the nature of the interaction. The panelists will talk about their individual projects, outline their visions for future interactions, and how their effort can be replicated by others. The session will briefly describe NSF's RET program which provided teacher support for three of the four projects. The session will then be opened for discussion; the audience will be encouraged to ask questions and contribute additional ideas for the inclusion of computational thinking in high school courses.